Rui Song
Orcid: 0000-0001-7359-1081Affiliations:
- Technical University of Munich, TUM, Chair of Robotics, Artificial Intelligence and Real-time Systems, Garching, Germany
- Fraunhofer Institute for Transportation and Infrastructure Systems IVI, Ingolstadt, Germany
According to our database1,
Rui Song
authored at least 15 papers
between 2022 and 2024.
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Bibliography
2024
IEEE Internet Things J., March, 2024
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems.
IEEE Trans. Intell. Veh., January, 2024
First Mile: An Open Innovation Lab for Infrastructure-Assisted Cooperative Intelligent Transportation Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Knowl. Based Syst., October, 2023
V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection.
CoRR, 2023
IEEE Access, 2023
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments.
Proceedings of the International Joint Conference on Neural Networks, 2023
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals.
CoRR, 2022
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2022
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022